Senior Software Engineer, Infra Spanner

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Spanner is a globally-replicated, scalable, SQL-aware database that provides strong consistency guarantees and is a key asset of Google’s product portfolio of storage services. In this role you will be responsible for building critical features and enhance their scalability, reliability, and availability. You will have opportunities to work with a broad range of areas in the Data Protection domain. You will build deep knowledge of and contribute to many crosscutting technologies throughout Spanner's stack. In this role, you will be working on large-scale feature development and integrating with other products in the wider Spanner ecosystem. We are seeking software engineers to extend and build out the core components of Infra Spanner so that they meet the growing needs of our most demanding customers at Google. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience programming in C++, or 3 year of experience with an advanced degree in an industry setting. 5 years of experience designing and developing distributed databases or storage systems. Experience in performance analysis, debugging, and optimization for distributed or low-level systems. Experience with concurrency, multithreading and synchronization. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with database internals and diagnosing of issues such as memory leaks, data corruption, database performance and tuning. Experience with transactional database systems. Understanding of distributed computing concepts, consensus algorithms (e.g., Paxos). Bachelor’s degree or equivalent practical experience. 5 years of experience programming in C++, or 3 year of experience with an advanced degree in an industry setting. 5 years of experience designing and developing distributed databases or storage systems. Experience in performance analysis, debugging, and optimization for distributed or low-level systems. Experience with concurrency, multithreading and synchronization.